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Systematic Reviews and Meta-Analysis$
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Julia H. Littell, Jacqueline Corcoran, and Vijayan Pillai

Print publication date: 2008

Print ISBN-13: 9780195326543

Published to Oxford Scholarship Online: January 2009

DOI: 10.1093/acprof:oso/9780195326543.001.0001

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Data Extraction and Study Quality Assessment

Data Extraction and Study Quality Assessment

Chapter:
(p.66) 4 Data Extraction and Study Quality Assessment
Source:
Systematic Reviews and Meta-Analysis
Author(s):

Julia H. Littell

Jacqueline Corcoran

Vijayan Pillai

Publisher:
Oxford University Press
DOI:10.1093/acprof:oso/9780195326543.003.0004

This chapter details the procedures used to extract and code data from included studies. Accurate data extraction is necessary to describe study design features and research methods, interventions, participants, and outcome measures. In addition, data extraction provides information necessary to formulate effect sizes and assess the qualities of included studies. Hierarchical coding structures, training for coders, and procedures to obtain inter-rater agreement are considered. Different approaches to study quality assessment are discussed, with emphasis on identifying potential biases in primary studies.

Keywords:   coding, data extraction, study quality assessment, risk of bias

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